International Journal of Knowledge Engineering and Soft Data Paradigms

IJKESDP reports the most recent research results in the areas of knowledge engineering and soft data analysis. Knowledge engineering, in contrast to traditional engineering techniques, involves mimicking the performance of human experts in a limited sense. Knowledge engineering with soft data paradigms offers very significant attributes such as learning, autonomy and self-organisation.

The main objective of IJKESDP is to report new research directions in the area of knowledge engineering and soft data paradigms, promoting multidisciplinary research in this area. Researchers, professors, application engineers, business professionals and students will gain considerable benefits through the application-oriented approach taken by the journal.

Readership

IJKESDP is directed towards researchers, application engineers, scientists, health professionals, business professionals, policy makers and students who are interested to learn about these innovative approaches.

Contents

IJKESDP will include original research papers and book reviews. All topics related to knowledge engineering and soft data paradigms will be considered for inclusion in the journal. Special Issues will occasionally be published.

Liao, Mingyu (Gloria), National Kaohsiung University of Applied Sciences, Taiwan

Liu, James, Hong Kong Polytechnic University, Hong Kong SAR, China

Lu, Jie, University of Technology, Sydney, Australia

Meo, Rosa, UniversitÓ degli Studi di Torino, Italy

Mihaylova, Lyudmila, Lancaster University, UK

Montani, Stefania, UniversitÓ del Piemonte Orientale, Italy

Nadrljanski, Đorđe, University of Split, Croatia

Nadrljanski, Mila, University of Split, Croatia

Nedic, Zorica, University of South Australia, Australia

Ogiela, Marek R., AGH University of Science & Technology, Poland

Pan, Jeng-Shyang, National Kaohsiung University of Applied Sciences, Taiwan

Petrosino, Alfredo, University of Naples "Parthenope", Italy

Ramanna, Sheela, University of Winnipeg, Canada

Reidsema, Carl, University of New South Wales, Australia

Remagnino, Paolo, Kingston University, UK

Rhee, Phill Kyu, Inha University, Republic of Korea

Sato, Yoshiharu, Hokkaido University, Japan

Setchi, Rossitza, Cardiff University, UK

Shimizu, Nobuo, Institute of Statistical Mathematics, Japan

Srinivasan, Dipti, National University of Singapore, Singapore

Stańczyk, Urszula, Silesian University of Technology, Poland

Vakali, Athena, Aristotle University of Thessaloniki, Greece

Wang, Wilson, Lakehead University, Canada

Yordanova, Snejana, Technical University of Sofia, Bulgaria

Zhang, Minjie, University of Wollongong, Australia

A few essentials for publishing in this journal

Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.

Conference papers may only be submitted if the paper has been completely re-written (taken to mean more than 50%) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.